GitHub - cs582/Data_Analysis_on_Spotify_2020: We use data analytics to find out how to predict if a song can be a hit in the current music market as well as predicting the mood of tracks.

Name		Name	Last commit message	Last commit date
Latest commit History 28 Commits
.ipynb_checkpoints		.ipynb_checkpoints
code		code
.gitattributes		.gitattributes
Data Cleaning.ipynb		Data Cleaning.ipynb
Data cleaning by Music Genre.ipynb		Data cleaning by Music Genre.ipynb
ML Classification of hit vs not-hit.ipynb		ML Classification of hit vs not-hit.ipynb
ML Classification of music genre.ipynb		ML Classification of music genre.ipynb
Most popular Artists and Songs.ipynb		Most popular Artists and Songs.ipynb
SpotifyFeatures.csv		SpotifyFeatures.csv
data cleaning artist.ipynb		data cleaning artist.ipynb
data.csv		data.csv
data_by_artist.csv		data_by_artist.csv
data_by_genre_clean.csv		data_by_genre_clean.csv
data_by_genres.csv		data_by_genres.csv
data_by_year.csv		data_by_year.csv
data_w_genres.csv		data_w_genres.csv
df_clean_2020.csv		df_clean_2020.csv
genres_labeled.csv		genres_labeled.csv
hit_predictor_BN.pth		hit_predictor_BN.pth
hit_predictor_HeBN.pth		hit_predictor_HeBN.pth
hit_predictor_HeInit.pth		hit_predictor_HeInit.pth